Security Scan Report: netflixbymanoj.vercel.app

Submitted: Completed: publiccompleted
This website contacted 10 IPs in 2 countries across 5 domains to perform 12 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://netflixbymanoj.vercel.app/

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Netflix-branded clone on a Vercel subdomain with a Google Safe Browsing Social Engineering flag and a single-source phishing report. No verified credential form was detected, but brand impersonation and threat intelligence support HIGH_RISK.

Risk Factors (4)
Google Safe Browsing Social Engineering threat
Single-source phishing threat-intel report on the primary domain
Netflix brand impersonation on a non-official domain
Hosted on a free/shared Vercel subdomain with unknown actual creation date
Domain age information unavailable

Details

Page Title

Netflix

Scan Type

public

Domain Name Analysis

You're looking at domain 'netflixbymanoj.vercel.app' on the application-focused generic top-level domain (.app), featuring subdomain 'netflixbymanoj'. The second-level label 'vercel' is 6 characters long containing 2 vowels alongside four consonants. Splitting it apart reveals two words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

DISCLAIM! MADE AS A PE A NOT the official site of the company or brand identified on the The creator of this NOT affiliated with th Unlimited movies, TV shows and more Watch anywhere. Cancel anytim...

Other pages on this site

Page Load Overview

3.20s
Total Load Time
966 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:1,328 chars
Detector Agreement:100%

All Detected Languages

🇺🇸en(97%)🇫🇷fr(3%)

Website Classification

Primary Category

entertainment media85% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
85%
education learning
80%
corporate business
78%
technology software
70%
documentation technical
43%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
364.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
345.57.91.1United States
AS40027Netflix Streaming Services Inc.
245.57.90.1United States
AS40027Netflix Streaming Services Inc.
1216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1112.196.177.75Jodhpur, Rajasthan, India
AS45184Den Digital Entertainment Pvt. Ltd. AS ISP india
1142.251.127.95Google · CDNUnited States
AS15169Google LLC
1142.250.154.94Google · CDNUnited States
AS15169Google LLC
164.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1112.196.177.74Jodhpur, Rajasthan, India
AS45184Den Digital Entertainment Pvt. Ltd. AS ISP india
1142.251.14.95Google · CDNUnited States
AS15169Google LLC
1210--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FB22846123F8852A652382C3B7A637B73EA79253E6491304B57D0E701FD6C89D83F8D9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:nOB/e2Z990H1uNaqU4yDITYak1zeT/j6hf2K576zkV9m/aatVSbtVutV5tVCtVNo:Ah9k4/Ozg6h2KB6zkV9mCawmRaOVzj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10390:gCoAAAFFQGCECBA1ARqkNsFslEDZkJABFQoAjMHCGAC9EHTBgDBEBAYAKGlCA0gDFAwEFgmWEQZSAgBCCIDAChkgKgJwaHQQ

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:ff00303c08000004
Perceptual Hash:828db0b997cecae1
Difference Hash:4c8765616b6bcdcc
Wavelet Hash:ff033dbf39190064
Color Hash:39c00010000

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data